Gender: Male 
Age: 25-34
Nationality: United States
Ethnicity: Black or African American 
Marital status: Single 
First language: English 
Religion: Christian 
Education: Graduate degree
Mother's education: Undergraduate degree
Father's education: Undergraduate degree
Self-assessed socioeconomic status (1-10): 6
Home: Rent 
Employment: Self-employed full time
Occupation: Manager or business owner (those who plan, direct, coordinate and evaluate the overall activities of enterprises, governments and other organizations)
Mother's occupation: Manager or business owner (those who plan, direct, coordinate and evaluate the overall activities of enterprises, governments and other organizations)
Father's occupation: Manager or business owner (those who plan, direct, coordinate and evaluate the overall activities of enterprises, governments and other organizations)
Hobbies: Listen to classical music;Listen to hiphop and rap;Use social media;Go to museums and galleries;Watch sports 
Devices used daily: Smartphone;Laptop;Smartwatch 
NLP tools known: Spell checker (i.e., correcting misspellings);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Grammar checker (i.e., correcting grammar mistakes);Paraphrasing and Summarisation (i.e., automatically produce alternative descriptions of written text);Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants);Speech-to-Text (i.e. a computer transcribing your spoken language to written language);Text-to-Speech (i.e, computers being able to read out loud written language);Reading text from scanned documents (i.e. “Optical character recognition” or OCR. Given an image representing printed text, determine the corresponding text.) 
NLP tools used: Spell checker (i.e., correcting misspellings);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants);Speech-to-Text (i.e. a computer transcribing your spoken language to written language);Text-to-Speech (i.e, computers being able to read out loud written language) 
NLP tools they would find useful: Sentiment analysis (e.g. automatically detect if user reviews are positive or negative)Machine translation (e.g. translate Chinese or Russian into English, and vice versa);Dialog technology (e.g. chatbots that communicate with you such as chatGPT);Reading text from scanned documents (i.e. “Optical character recognition” or OCR. Given an image representing printed text, determine the corresponding text.) 
Frequency of LLM use: Every day
LLMs used: ChatGPT;Snapchat My AI 
LLM use cases: Translation;Writing (e.g., composing emails);Paraphrasing or finding synonyms;Digital content creation (e.g., creation of social media content);Generate art;Completing assignments;Learning (e.g., explaining complex concepts in simple terms);Get information about current events;Answering questions about general knowledge 
Contexts of LLM use: Work;School/University;Learning;Personal;Creative or artistic 
Prompt 1: Balanced Diet
Prompt 2: good health tip
Prompt 3: Imagine you are working for a large company in retail industry. The company invites you to participate in an ideation challenge to source the most innovative and cutting-edge circular economy solutions for the business world.Please generate more White Horse (i.e., conventional) ideas on circular economy
Prompt 4: Imagine you are working for a large company in retail industry. The company invites you to participate in an ideation challenge to source the most innovative and cutting-edge circular economy solutions for the business world.
Prompt 5: reading and math foundation
Prompt 6: component of a good diet
Prompt 7: write me a shill template for a crypto project
Prompt 8: tell me more about elon musk
Prompt 9: what do you know about sex
Prompt 10: what does that mean iif my car is emitting black smoke
Comments: non